From the first week of bio-informatics i learn about basics of bio-informatics.

which are very helpful for us.It is no doubt that it was a successful week for us.

thank you...

Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis pipelines that are repeatedly used particularly in the field of  genomics. Bioinformatics also tries to understand the organisational principles within nucleic and protein sequences is called by proteomics. This definition placed bioinformatics as a field parallel to biochemistry the study of chemical processes in biological systems.

Vast amounts of DNA sequence have already been determined, and the pace at which new sequences are characterized is continuously accelerating. Computers are necessary to store and distribute this enormous volume of data. Bioinformatics is the rapidly developing area of computer science devoted to collecting, organizing, and analyzing DNA and sequences. The principal data banks where such sequences are stored are the GenBank at the National Institutes of Health, Bethesda, Maryland, and the  Sequence Data Base at the European Molecular Biology Laboratory in Heidelberg. These databases continuously exchange newly reported sequences and make them available to molecular cell biologists throughout the world on the Internet. Newly derived sequences can be compared with previously determined sequences to search for similarities, called homologous sequences. Protein-coding regions can be translated into  sequences, which also can be compared. Because of degeneracy in the , related proteins often exhibit more  than the genes encoding them. As we saw in the previous section, databases of partial cDNA sequences are particularly useful in designing probes for screening libraries.

Bioinformatics has become an important part of many areas of biology. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologie to organize and query biological data. Bioinformatics tools aid in comparing, analyzing and interpreting of genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogu  the biological pathways and networks that are an important part of systems biology. In structural biology, 

Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologies to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation. Bioinformatics tools aid in comparing, analyzing and interpreting of genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogue the biological pathways and networks that are an important part of systems biology.

From the first week of bio-informatics, I learn about the basics of  bio-informatics . In lecture 1 we have learned about ,

1.  Basics of Bioinformatics

2.  Scope of Bioinformatics.

3.  Cell Structure.

Nucleolus

In the same way that the nucleus is the most prominent organelle of the cell, the nucleolus is the most prominent structure of the nucleus. Unlike the nucleus, however, this dense structure lacks its own membrane.

During cell division (mitosis), the nucleolus breaks up only to reform from specific sections of the chromosomes after mitosis.

* Although the nucleolus is the most prominent (and thus visible) structures of the nucleus, its size is largely dependent on the level of ribosome production as well as the different types of molecular processes that occur in the nucleus.

* The nucleolus is the site of transcription and processing of the ribosomal gene.

* In some organisms, the nucleus contains as many as four nucleoli.

Bioinformatics studies the storage, manipulation, and interpretation of biological data, especially data of nucleic acids and amino acids, and studies molecular rules and systems that govern or affect the structure, function, and evolution of various forms of life from computational approaches.

In first weak we learn the basics of Bioinformatics.Bioinformatics is the field of science in which biology,computer science,and information technology merge to form a single discipline.Areas where bioinformatics is applied ,Genomics,Genomic feature prediction,Sequencing data analysis,proteomics,protein3D structure modeling,Drug design,Systems Biology,Gene set enrichment,Pathway analysis,Phenotype,Image analysis,Integration.

we learn the basics of bio-informatics in first week. bio-informatics is a field that develops methods and softwere tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combinesbiology, computer science, informaton engineeringm mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for insilico analyses of biological queries using mathematical and statistical techniques.

In first week we learn the basics of bio-informatics. It is a recently developed  science. Bioinformatics is the science of storing, retrieving and analysing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientists, computer scientists and mathematicians.

Bioinformatics is distinct from medical informatics – the interdisciplinary study of the design, development, adoption and application of IT-based innovations in healthcare services delivery, management and planning. Somewhere in between the two disciplines lies biomedical informatics – the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific enquiry, problem solving and decision making, motivated by efforts to improve human health

Form the 1st weak I learn about basic  bioinformatics and the definition of bioinformatics.   Also know the reason why bioinformatics are join with  computer programming. 

From the first week lectures on Bio Informatics I have learn a quick overview of cell structure, How bio informatics is related to Computer science and the scopes or possibilities.

In first week we learn about the basic of Human cell.In this topic we can know about the basic structure of Of a Human cell.

Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis pipelines that are repeatedly used particularly in the field of  genomics. Bioinformatics also tries to understand the organisational principles within nucleic and protein sequences is called by proteomics. This definition placed bioinformatics as a field parallel to biochemistry the study of chemical processes in biological systems.

Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis pipelines that are repeatedly used particularly in the field of  genomics. Bioinformatics also tries to understand the organisational principles within nucleic and protein sequences is called by proteomics. This definition placed bioinformatics as a field parallel to biochemistry the study of chemical processes in biological systems.

 bioinformatics is the science of storing, retrieving and analysing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientistsand  mathematicians..   

What is allele?

An allele is a viable DNA (deoxyribonucleic acid) coding that occupies a given locus (position) on a chromosome.

in first week we learn the basic of Bioinformatics.it is very interesting chapter.

We learn about DNA ,RNA

in the first week we learn the basics of Bioinformatics.it is a very interesting chapter.

Bioinformatics has become an important part of many areas of biology. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologie to organize and query biological data.Analyzing biological data to produce meaningful information involves writing and running software programs that use algorithms from graph theory, artificial intelligence, soft computing, data mining, image processing, and computer simuilation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics. 

In first weak we learn the basics of Bioinformatics. Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology.

Analyzing biological data to produce meaningful information involves writing and running software programs that use algorithms from graph theory, artificial intelligence, soft computing, data mining, image processing, and computer simuilation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics. 

In first weak we learn the basics of Bioinformatics. Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology.

Analyzing biological data to produce meaningful information involves writing and running software programs that use algorithms from graph theory, artificial intelligence, soft computing, data mining, image processing, and computer simuilation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics. 

In first weak we learn the basics of Bioinformatics. Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology.

In first weak we learn the basics of Bioinformatics. Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology.

Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology.

Analyzing biological data to produce meaningful information involves writing and running software programs that use algorithms from graph theory, artificial intelligence, soft computing, data mining, image processing, and computer simuilation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics. 

Bioinformatics is an interdisciplinary field mainly involving molecular biology and genetics, computer science, mathematics, and statistics.The most common problems are modeling biological processes at the molecular level and making inferences from collected data.

From the first week of bio-informatics, I learn about the basics of  bio-informatics . In lecture 1 we have learned about ,

1.  Basics of Bioinformatics

2.  Scope of Bioinformatics.

3.  Cell Structure.

In first weak we learn the basics of Bioinformatics. Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. 

In first weak we learn the basics of Bioinformatics. Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bio engineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology.

From the first week of bio-informatics i learn about basics of bio-informatics.

which are very helpful for us.It is no doubt that it was a successful week for us.

In first weak we learn the basics of Bioinformatics.Bioinformatics is the field of science in which biology,computer science,and information technology merge to form a single discipline.Areas where bioinformatics is applied ,Genomics,Genomic feature prediction,Sequencing data analysis,proteomics,protein3D structure modeling,Drug design,Systems Biology,Gene set enrichment,Pathway analysis,Phenotype,Image analysis,Integration.

In the first week of bio-informatics, I learn about the basics of bioinformatics. We have learned about, Basics of Bioinformatics, Scope of Bioinformatics, Cell Structure

Definition of bioinformatics:

 The collection, classification, storage, and analysis of biochemical and biological information using computers especially as applied to molecular genetics and genomics.

Or

As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.

In first week we learn the basics of bio-informatics.Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In stuctular biology, it aids in the simulation and modeling of DNA,RNA, proteins as well as bio-molecular interactions.

In first weak we learn the basics of Bioinformatics. Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to  computation. biological Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology.

Analyzing biological data to produce meaningful information involves writing and running software programs that use algorithms from graph theory, artificial intelligence, soft computing, data mining, image processing, and computer simuilation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics. 

In first week we learn the basics of bio-informatics.Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In pustular biology, it aids in the simulation and modeling of DNA,RNA, proteins as well as bio-molecular interactions..

Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologies to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation. Bioinformatics tools aid in comparing, analyzing and interpreting of genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogue the biological pathways and networks that are an important part of systems biology.

Bioinformatics is the science of storing, retrieving and analysing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientists, computer scientists and mathematicians.

Bioinformatics is the science of storing, retrieving and analysing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientists, computer scientists and mathematicians.

first weak we learn the basics of Bioinformatics.Bioinformatics is the field of science in which biology,computer science,and information technology merge to form a single discipline.

Bioinformatics is the science of storing, retrieving and analysing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientists, computer scientists and mathematicians.

Bioinformatics is the science of storing, retrieving and analysing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientists, computer scientists and mathematicians.

Bioinformatics is the science of storing, retrieving and analysing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientists, computer scientists and mathematicians.

Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis pipelines that are repeatedly used particularly in the field of  genomics. Bioinformatics also tries to understand the organisational principles within nucleic and protein sequences is called by proteomics. This definition placed bioinformatics as a field parallel to biochemistry the study of chemical processes in biological systems

Bioinformatics has become an important part of many areas of biology. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologie to organize and query biological data. Bioinformatics tools aid in comparing, analyzing and interpreting of genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogu  the biological pathways and networks that are an important part of systems biology. In structural biology, 

Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis pipelines that are repeatedly used particularly in the field of genomics. Bioinformatics also tries to understand the organisational principles within nucleic and protein sequences is called by proteomics.

Put simply, bioinformatics is the science of storing, retrieving and analyzing large amounts of biological information. It is a highly interdisciplinary field involving many different types of specialists, including biologists, molecular life scientists, computer scientists and mathematicians.

The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper to describe "the study of informatic processes in biotic systems" and it found early use when the first biological sequence data began to be shared. Whilst the initial analysis methods are still fundamental to many large-scale experiments in the molecular life sciences, nowadays bioinformatics is considered to be a much broader discipline, encompassing modelling and image analysis in addition to the classical methods used for comparison of linear sequences or three-dimensional structures.

Bioinformatics has become an important part of many areas of biology. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologie to organize and query biological data. Bioinformatics tools aid in comparing, analyzing and interpreting of genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogu  the biological pathways and networks that are an important part of systems biology. In structural biology, 

Bioinformatics is an interdisciplinary field mainly involving molecular biology and genetics, computer science, mathematics, and statistics.The most common problems are modeling biological processes at the molecular level and making inferences from collected data.

Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis pipelines that are repeatedly used particularly in the field of  genomics. Bioinformatics also tries to understand the organisational principles within nucleic and protein sequences is called by proteomics.

Bioinformatics is an interdisciplinary field mainly involving molecular biology and genetics, computer science, mathematics, and statistics.The most common problems are modeling biological processes at the molecular level and making inferences from collected data.

Bioinformatics is the application of informatics technique s to obtain, store, and interpret large quantities of biological data. The term “Bioinformatics” was initially coined by Ben Hesper and Paulien Hogewen in 1970 and defined as “the study of informatics processes in biotic systems”. Bioinformatics finds application in different fields of biology, a few of which are enlisted below.

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.

Bioinformatics has become an important part of many areas of biology. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologie to organize and query biological data. Bioinformatics tools aid in comparing, analyzing and interpreting of genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogu  the biological pathways and networks that are an important part of systems biology. In structural biology